RWNN - Random Weight Neural Networks
Creation, estimation, and prediction of random weight
neural networks (RWNN), Schmidt et al. (1992)
<doi:10.1109/ICPR.1992.201708>, including popular variants like
extreme learning machines, Huang et al. (2006)
<doi:10.1016/j.neucom.2005.12.126>, sparse RWNN, Zhang et al.
(2019) <doi:10.1016/j.neunet.2019.01.007>, and deep RWNN,
HenrĂquez et al. (2018) <doi:10.1109/IJCNN.2018.8489703>. It
further allows for the creation of ensemble RWNNs like bagging
RWNN, Sui et al. (2021) <doi:10.1109/ECCE47101.2021.9595113>,
boosting RWNN, stacking RWNN, and ensemble deep RWNN, Shi et
al. (2021) <doi:10.1016/j.patcog.2021.107978>.